Description

You will build and maintain scalable data pipelines and infrastructure to support data-driven decision making.

This role is on-site.

Responsibilities

• Design, develop, and maintain ETL processes to ingest and transform structured and unstructured data.
• Collaborate with cross-functional teams to design data architectures and business-aligned solutions.
• Implement data quality and validation processes to ensure data accuracy and reliability.
• Troubleshoot, configure, and upgrade existing data systems and infrastructure.
• Document data pipelines, processes, and system architectures.

Required Skills

• 0-3 years of experience in data engineering or related roles.
• Proficiency in SQL.
• Experience with relational databases including PostgreSQL, MySQL, or SQL Server.
• Strong programming skills in Python, Java, or Scala.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Preferred Skills

• Experience with big data technologies such as Hadoop, Spark, or Apache Beam.

Key Skills

Education

Bachelor's or Master's degree in Computer Science, Engineering